BIONIC: biological network integration using convolutions.
- DOI
- 10.1038/s41592-022-01616-x
- Published
- 2022 Oct
- Container
- Nature methods
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41592-022-01616-x,
title = {BIONIC: biological network integration using convolutions.},
author = {Forster DT and Li SC and Yashiroda Y and Yoshimura M and Li Z and Isuhuaylas LAV and Itto-Nakama K and Yamanaka D and Ohya Y and Osada H and Wang B and Bader GD and Boone C},
year = {2022},
journal = {Nature methods},
doi = {10.1038/s41592-022-01616-x},
url = {https://doi.org/10.1038/s41592-022-01616-x}
}RIS
TY - JOUR TI - BIONIC: biological network integration using convolutions. AU - Forster DT AU - Li SC AU - Yashiroda Y AU - Yoshimura M AU - Li Z AU - Isuhuaylas LAV AU - Itto-Nakama K AU - Yamanaka D AU - Ohya Y AU - Osada H AU - Wang B AU - Bader GD AU - Boone C PY - 2022 JO - Nature methods DO - 10.1038/s41592-022-01616-x UR - https://doi.org/10.1038/s41592-022-01616-x ER -
APA
DT, F., SC, L., Y, Y., M, Y., Z, L., LAV, I., K, I., D, Y., Y, O., H, O., B, W., GD, B., & C, B. (2022). BIONIC: biological network integration using convolutions.. Nature methods. https://doi.org/10.1038/s41592-022-01616-x
Source records
- pubmed · retrieved 2026-09-27T09:28:18.238Z
- europe-pmc · retrieved 2026-09-27T09:28:18.227Z